AI Research Dispatch

AI research dispatch tracking model releases, lab updates, benchmarks, safety work, and academic papers with links to primary or source materials and context.

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Building AI models that understand chemical principles

Among all of the possible chemical compounds, it’s estimated that between 10 20 and 10 60 may hold potential as small-molecule drugs. Evaluating each of those compounds experimentally would be far too …

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Two from MIT named 2026 Knight-Hennessy Scholars

MIT master’s student Sunshine Jiang ’25 and Rupert Li ’24 are recipients of this year’s Knight-Hennessy Scholarship. Now in its ninth year, the highly competitive scholarship provides up to three …

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Improving understanding with language

When she was a child, MIT senior Olivia Honeycutt would spend summers on her grandparents’ farm in rural Alabama outside Birmingham. The practical and cultural differences between farm and city life …

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Beacon Biosignals is mapping the brain during sleep

The human brain remains one of the most fascinating and perplexing mysteries in medicine. Scientists still struggle to match neurological activity with brain function and detect problems early, …

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Making the case for curiosity-driven science

“The thing that really struck me when I came to MIT and strikes me every single day is the stuff that’s going on here is amazing. The science, the engineering… every day I hear something that makes my …

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Enabling a new model for healthcare with AI co-clinician

Engineering trust with safeguards for clinical-grade AI The transition and deployment of AI into clinical environments requires uncompromising architectural and operational safeguards. In our research …

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Announcing our partnership with the Republic of Korea

Bringing frontier AI models to Korea’s scientific community Korea’s Ministry of Science and ICT (MSIT) has recently launched the K-Moonshot Missions, an initiative aimed at unlocking step-change …

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A faster way to estimate AI power consumption

Due to the explosive growth of artificial intelligence, it is estimated that data centers will consume up to 12 percent of total U.S. electricity by 2028 , according to the Lawrence Berkeley National …

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Teaching AI models to say “I’m not sure”

Confidence is persuasive. In artificial intelligence systems, it is often misleading. Today’s most capable reasoning models share a trait with the loudest voice in the room: They deliver every …